Power-reaching-law-based sliding-mode controlled magnetic suspension train system control method

A technology for maglev trains and control methods, which is applied in the general control system, control/regulation system, adaptive control, etc., can solve the problems of open-loop instability of the maglev train system, fluctuations in the position of levitation objects, and poor adaptability to parameter changes, etc., to achieve The effects of small overshoot, small position signal error, and smooth speed tracking curve

A technology for maglev trains and control methods, which is applied in the general control system, control/regulation system, adaptive control, etc., can solve the problems of open-loop instability of the maglev train system, fluctuations in the position of levitation objects, and poor adaptability to parameter changes, etc., to achieve The effects of small overshoot, small position signal error, and smooth speed tracking curve

CN107589666AActive Publication Date: 2018-01-16HUBEI UNIV OF TECH
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  • Power-reaching-law-based sliding-mode controlled magnetic suspension train system control method
  • Power-reaching-law-based sliding-mode controlled magnetic suspension train system control method
  • Power-reaching-law-based sliding-mode controlled magnetic suspension train system control method

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Embodiment

[0060] 1. First introduce the model of the maglev train system.

[0061]At present, the typical structure of the magnetic levitation system is mainly divided into the constant conduction attraction type and the superconduction repulsion type. In 1969, Germany took the lead in researching the TR series of constant conduction magnetic suspension trains. Japan then developed the HSST constant conduction suction type medium and low speed magnetic levitation trains and launched the superconducting MLX01 in 1972. Shanghai, my country introduced German technology in 2003 and designed it. The Shanghai maglev train and the self-developed Changsha maglev train in 2015 are both constant conduction maglev trains. The magnetic levitation train system of this kind of constant suction type is composed of multiple single magnet structures. In this paper, the single magnet structure of the maglev train is studied. The schematic diagram is as follows figure 1 , which is mainly composed of suspe...

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Abstract

The invention relates to a power-reaching-law-based sliding-mode controlled magnetic suspension train system control method. Based on a single magnet structure magnetic suspension system model, and onthe basis of performing linearization on the input and output relation, the power-reaching-law-based sliding-mode controlled magnetic suspension train system control method analyzes the control relation of the application of sliding-mode control of the power reaching law in the single magnet structure magnetic suspension system, and utilizes a Lyapunov stability theory to analyze the stability ofthe method. The Matlab simulation result shows that compared with traditional sliding-mode control, the sliding-mode control of the power reaching law has better control performance, and has the advantages of significantly weakening buffeting, being smaller in the positional signal error, being better in dynamic characteristic, and being higher in robustness.

Description

technical field [0001] The invention relates to a control method for a maglev train system, in particular to a control method for a maglev train system based on power reaching law sliding mode control. Background technique [0002] The maglev train system is a single-degree-of-freedom open-loop unstable nonlinear system, which is easily affected by system parameter disturbance and external disturbance, which brings difficulties to the system control. Although the conventional PID controller can make the system stable, the adaptability of the system to parameter changes is poor; therefore, Sakalli et al. use fuzzy PID for control, which is characterized by no need for an accurate system model, and the parameters can be adjusted online, which can obtain Satisfactory system dynamic performance and stability performance, but the fuzzy rules of fuzzy control can only be obtained by experience and the algorithm is more complicated; so Ulbig and others use the predictive control me...

Claims

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Application Information

Patent Timeline
16 Jan 2018
Publication
CN107589666A
IPC
G05B13/04
Inventors
潘健; 李维